{"id":"https://openalex.org/W4385767894","doi":"https://doi.org/10.24963/ijcai.2023/198","title":"Video Frame Interpolation with Densely Queried Bilateral Correlation","display_name":"Video Frame Interpolation with Densely Queried Bilateral Correlation","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385767894","doi":"https://doi.org/10.24963/ijcai.2023/198"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2023/198","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/198","pdf_url":"https://www.ijcai.org/proceedings/2023/0198.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2023/0198.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100613561","display_name":"Chang Zhou","orcid":"https://orcid.org/0000-0002-6029-1132"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Zhou","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052226742","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0002-9297-7729"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089631680","display_name":"Jie Tang","orcid":"https://orcid.org/0000-0003-0619-0338"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Tang","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101546753","display_name":"Gangshan Wu","orcid":"https://orcid.org/0000-0003-1391-1762"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gangshan Wu","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":1.1584,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.85894998,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1786","last_page":"1794"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/motion-interpolation","display_name":"Motion interpolation","score":0.8109779357910156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.74335777759552},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6582226753234863},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.6482267379760742},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6473835706710815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.625480055809021},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.5656605362892151},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.5157880783081055},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.5138754844665527},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5116077065467834},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5000438690185547},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4623256027698517},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4483300447463989},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.4276343286037445},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.41800469160079956},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.15616127848625183},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.13799110054969788},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07769936323165894}],"concepts":[{"id":"https://openalex.org/C72560505","wikidata":"https://www.wikidata.org/wiki/Q204510","display_name":"Motion interpolation","level":5,"score":0.8109779357910156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.74335777759552},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6582226753234863},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.6482267379760742},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6473835706710815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.625480055809021},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.5656605362892151},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.5157880783081055},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.5138754844665527},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5116077065467834},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5000438690185547},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4623256027698517},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4483300447463989},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.4276343286037445},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.41800469160079956},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.15616127848625183},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.13799110054969788},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07769936323165894},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2023/198","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/198","pdf_url":"https://www.ijcai.org/proceedings/2023/0198.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2023/198","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/198","pdf_url":"https://www.ijcai.org/proceedings/2023/0198.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.7799999713897705}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385767894.pdf","grobid_xml":"https://content.openalex.org/works/W4385767894.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W1905052409","https://openalex.org/W2147253850","https://openalex.org/W2348664362","https://openalex.org/W2551052086","https://openalex.org/W2586480386","https://openalex.org/W2604329646","https://openalex.org/W2904829482","https://openalex.org/W2908510526","https://openalex.org/W2949258649","https://openalex.org/W2949903291","https://openalex.org/W2963093735","https://openalex.org/W2963189365","https://openalex.org/W2963268050","https://openalex.org/W2963483509","https://openalex.org/W2964251418","https://openalex.org/W2989028869","https://openalex.org/W2997150500","https://openalex.org/W2998645105","https://openalex.org/W3034365816","https://openalex.org/W3035236663","https://openalex.org/W3035239272","https://openalex.org/W3102015846","https://openalex.org/W3107921985","https://openalex.org/W3110612869","https://openalex.org/W3128053054","https://openalex.org/W3171519093","https://openalex.org/W3174138177","https://openalex.org/W3184828860","https://openalex.org/W3203041407","https://openalex.org/W3203486979","https://openalex.org/W4214626557","https://openalex.org/W4283710531","https://openalex.org/W4287993308","https://openalex.org/W4312324876","https://openalex.org/W4312364368","https://openalex.org/W4312445951","https://openalex.org/W4312623579","https://openalex.org/W4312748794","https://openalex.org/W4312770027","https://openalex.org/W4312807468","https://openalex.org/W4312857869","https://openalex.org/W4312927604"],"related_works":["https://openalex.org/W1541334882","https://openalex.org/W2381927031","https://openalex.org/W1997997397","https://openalex.org/W1967654336","https://openalex.org/W3181871159","https://openalex.org/W2010798765","https://openalex.org/W2130187254","https://openalex.org/W2060180154","https://openalex.org/W2016848112","https://openalex.org/W2048730704"],"abstract_inverted_index":{"Video":[0],"Frame":[1],"Interpolation":[2],"(VFI)":[3],"aims":[4],"to":[5,20,94,122],"synthesize":[6],"non-existent":[7],"intermediate":[8,17],"frames":[9,47],"between":[10,44],"existent":[11,23],"frames.":[12,24],"Flow-based":[13],"VFI":[14],"algorithms":[15],"estimate":[16],"motion":[18,34,51,68,78,98,128,146],"fields":[19,69,129,147],"warp":[21],"the":[22,29,42,56,67,102,112,132,145,154,171],"Real-world":[25],"motions'":[26],"complexity":[27],"and":[28,86,93,117,124,139,166],"reference":[30],"frame's":[31],"absence":[32],"make":[33],"estimation":[35,79],"challenging.":[36],"Many":[37],"state-of-the-art":[38],"approaches":[39,80],"explicitly":[40],"model":[41,91],"correlations":[43,92],"two":[45],"neighboring":[46],"for":[48],"more":[49,96,120],"accurate":[50,97],"estimation.":[52],"In":[53],"common":[54,77],"approaches,":[55],"receptive":[57,73,113],"field":[58,74,114],"of":[59,111,134],"correlation":[60],"modeling":[61],"at":[62,82,177],"higher":[63,164],"resolution":[64],"depends":[65],"on":[66],"estimated":[70],"beforehand.":[71],"Such":[72],"dependency":[75,115],"makes":[76],"poor":[81],"coping":[83],"with":[84,131,141],"small":[85,123],"fast-moving":[87,125],"objects.":[88,126],"To":[89],"better":[90],"produce":[95],"fields,":[99],"we":[100],"propose":[101],"Densely":[103],"Queried":[104],"Bilateral":[105],"Correlation":[106],"(DQBC)":[107],"that":[108,160],"gets":[109],"rid":[110],"problem":[116],"thus":[118],"is":[119,175],"friendly":[121],"The":[127],"generated":[130],"help":[133],"DQBC":[135],"are":[136,148],"further":[137],"refined":[138],"up-sampled":[140],"context":[142],"features.":[143],"After":[144],"fixed,":[149],"a":[150],"CNN-based":[151],"SynthNet":[152],"synthesizes":[153],"final":[155],"interpolated":[156],"frame.":[157],"Experiments":[158],"show":[159],"our":[161],"approach":[162],"enjoys":[163],"accuracy":[165],"less":[167],"inference":[168],"time":[169],"than":[170],"state-of-the-art.":[172],"Source":[173],"code":[174],"available":[176],"https://github.com/kinoud/DQBC.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}
